Medical Education Management ›› 2026, Vol. 12 ›› Issue (3): 329-333.doi: 10.3969/j.issn.2096-045X.2026.03.008

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AI medical imaging: practice and reflection on the double helix teaching model

  

  1. 1. Department of Radiology, Huashan Hospital, Fudan University, Shanghai 200040, China;2.Education Department, Huashan Hospital, Fudan University, Shanghai 200040, China;3. Institute of Artificial Intelligence Innovation and Incubation, Fudan University, Shanghai 201203, China
  • Received:2025-04-14 Revised:2025-07-26 Online:2026-06-20 Published:2026-07-13

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Abstract:

 Given the pervasive integration of artificial intelligence into clinical applications, there is an urgent need for innovation in traditional teaching and training methods. Adhering to the double helix teaching model, This study integrates AI vertical domain applications with pedagogical innovation through practical AI medical imaging courses. This model emphasizes the interwoven synergy between the "knowledge chain" and the "capability chain". The knowledge chain employs a vertical integration of medical imaging knowledge with AI algorithms, while the capability chain facilitates a horizontal bridging of clinical problem identification with engineering practice translation. The objective of this initiative is to cultivate an application-oriented learning approach among students, thereby liberating them from the constraints imposed by traditional knowledge frameworks. This is intended to foster interdisciplinary capabilities that combine clinical depth with technological breadth. The double helix model is expected to offer a potential new pathway for the training of medical professionals in the intelligent era.

Key words:  , medical imaging｜ artificial intelligence｜thematic applications｜ teaching model｜ talent cultivation